ActionMeta Llama APIUpdated May 2026

How do I call Meta's hosted Llama API?

Short answer: Drop the "Meta Llama API → Meta Llama Chat Completion" action anywhere in your workflow, map the inputs from upstream nodes, and publish.

Use this action All 1 Meta Llama API actions

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Model model	options	Required	Which model to use
User Message message	string	Required	User message to send to the model
System Prompt system_prompt	string	Optional	Optional system instructions that shape the model's behavior
Temperature temperature	string	Optional	Sampling temperature (0–2). Higher = more random.
Max Tokens max_tokens	string	Optional	Maximum tokens to generate in the response
Top P top_p	string	Optional	Nucleus sampling threshold (0–1)

Sample request

{
  "model": "{{trigger.model}}",
  "message": "e.g. Summarize this article in 3 bullets",
  "system_prompt": "e.g. You are a helpful assistant.",
  "temperature": "0.7",
  "max_tokens": "1024"
}

Returns

{
  "id": "chatcmpl-abc123",
  "model": "Llama-4-Maverick-17B-128E-Instruct-FP8",
  "usage": {
    "total_tokens": 60,
    "prompt_tokens": 10,
    "completion_tokens": 50
  },
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "Sample response"
      },
      "finish_reason": "stop"
    }
  ]
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for Meta Llama Chat Completion.

Any of these apps can fire this action as part of a workflow.

Gmail → Meta Llama API

1 Gmail triggers

Slack → Meta Llama API

13 Slack triggers

Google Sheets → Meta Llama API

2 Google Sheets triggers

HubSpot → Meta Llama API

18 HubSpot triggers

FAQ

Questions about Meta Llama Chat Completion.

What does the Meta Llama Chat Completion action do in Meta Llama API?

First-party Meta-hosted Llama inference using OpenAI-compatible message-array shape. For workflows that want Llama direct from Meta rather than via Together/DeepInfra/Fireworks reseller paths.

What inputs does Meta Llama Chat Completion require?

Required: Model, User Message. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if Meta Llama API returns an error?

The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does Meta Llama Chat Completion support batch operations?

Yes. Run Meta Llama Chat Completion inside a Loop node to process arrays. Tiny Command handles Meta Llama API's rate limits automatically so you don't have to throttle manually.

Send meta llama chat completion from your workflows.

Triggered by anything in the catalog. Free tier available. No credit card.

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